Epiktistes

Epiktistes is my home in the Fediverse. It is an instance of Ktistec, a single-user ActivityPub server like Mastodon, but with fewer users and fewer commits. Here's my introduction (last updated early-2025).

I wrote a series of posts about optimizing the performance of the Ktistec server, its build time, and its executable size: part 1, part 2, part 3, part 4, and part 5.

Some things I regularly write about, organized by hashtag:

I also wrote some #pointfreeverse.

Todd Sundsted

interesting article... a look at self's object system

lambdamoo claims it's prototype-based object system was inspired by self's and based on this article it's clear that that claim is factual.

#self #lambdamoo

Todd Sundsted

commits #f087a58 to fc9069c add support for approved posts. approved posts appear in public threaded conversations, and allow authors to control what parts of a conversation are visible to anonymous visitors.

it's a nod toward the day when fediverse spammers show up. (lol "when"...)

#ktistec

Todd Sundsted
Todd Sundsted
Todd Sundsted
Todd Sundsted

the keyboard keys to the left of "for" spell "die"

Todd Sundsted
game night

I finally took the plunge.

#gloomhaven #boardgame

Todd Sundsted

i slept an extra hour so now i'm two hours off...?

Todd Sundsted

replicator technology like that in star trek will always be doomed by humans' obsession with assets and ownership, as demonstrated by the popularity of nfts. 24th century humans will have to spend piles of credits just on the monthly subscriptions.

#nft #startrek

Todd Sundsted

I've been thinking about the impact of starting player order on winning strategy games. It seems like the kind of thing you'd want to design out of a game (or otherwise counterbalance). I came across an article that modeled the dice and card game Machi Koro and then used a DNN to play 10,000 games. In the process the author found that there was a significant bias in favor of the first two players (vs. the last two players).

probably of winning vs. turn order

I'm going to see if I can replicate the results using MXNet.cr.

#boardgame #neuralnetwork